Geographically distributed data management to support large-scale data analysis Article Swipe
Tamer Z. Emara
,
Thanh Trinh
,
Joshua Zhexue Huang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-44789-x
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-023-44789-x
Nowadays, several companies prefer storing their data on multiple data centers with replication for many reasons. The data that spans various data centers ensures the fastest possible response time for customers and workforces who are geographically separated. It also provides protecting the information from the loss in case a single data center experiences a disaster. However, the amount of data is increasing at a rapid pace, which leads to challenges in storage, analysis, and various processing tasks. In this paper, we propose and design a geographically distributed data management framework to manage the massive data stored and distributed among geo-distributed data centers. The goal of the proposed framework is to enable efficient use of the distributed data blocks for various data analysis tasks. The architecture of the proposed framework is composed of a grid of geo-distributed data centers connected to a data controller (DCtrl). The DCtrl is responsible for organizing and managing the block replicas across the geo-distributed data centers. We use the BDMS system as the installed system on the distributed data centers. BDMS stores the big data file as a set of random sample data blocks, each being a random sample of the whole data file. Then, DCtrl distributes these data blocks into multiple data centers with replication. In analyzing a big data file distributed based on the proposed framework, we randomly select a sample of data blocks replicated from other data centers on any data center. We use simulation results to demonstrate the performance of the proposed framework in big data analysis across geo-distributed data centers.
Related Topics
Concepts
Computer science
Replication (statistics)
Big data
Data management
Data grid
Distributed database
Distributed data store
Sample (material)
Data set
Data center
Distributed computing
Grid
Database
Data mining
Information retrieval
Operating system
Chromatography
Chemistry
Mathematics
Semantic grid
Semantic Web
Artificial intelligence
Geometry
Statistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-023-44789-x
- https://www.nature.com/articles/s41598-023-44789-x.pdf
- OA Status
- gold
- Cited By
- 16
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387764728
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387764728Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-023-44789-xDigital Object Identifier
- Title
-
Geographically distributed data management to support large-scale data analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-18Full publication date if available
- Authors
-
Tamer Z. Emara, Thanh Trinh, Joshua Zhexue HuangList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-023-44789-xPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-023-44789-x.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-023-44789-x.pdfDirect OA link when available
- Concepts
-
Computer science, Replication (statistics), Big data, Data management, Data grid, Distributed database, Distributed data store, Sample (material), Data set, Data center, Distributed computing, Grid, Database, Data mining, Information retrieval, Operating system, Chromatography, Chemistry, Mathematics, Semantic grid, Semantic Web, Artificial intelligence, Geometry, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 14, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4387764728 |
|---|---|
| doi | https://doi.org/10.1038/s41598-023-44789-x |
| ids.doi | https://doi.org/10.1038/s41598-023-44789-x |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/37853092 |
| ids.openalex | https://openalex.org/W4387764728 |
| fwci | 9.89580203 |
| type | article |
| title | Geographically distributed data management to support large-scale data analysis |
| biblio.issue | 1 |
| biblio.volume | 13 |
| biblio.last_page | 17783 |
| biblio.first_page | 17783 |
| topics[0].id | https://openalex.org/T10101 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | Cloud Computing and Resource Management |
| topics[1].id | https://openalex.org/T11181 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9994000196456909 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1705 |
| topics[1].subfield.display_name | Computer Networks and Communications |
| topics[1].display_name | Advanced Data Storage Technologies |
| topics[2].id | https://openalex.org/T10715 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9993000030517578 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Distributed and Parallel Computing Systems |
| is_xpac | False |
| apc_list.value | 1890 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2190 |
| apc_paid.value | 1890 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2190 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8307953476905823 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C12590798 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6970449090003967 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q3933199 |
| concepts[1].display_name | Replication (statistics) |
| concepts[2].id | https://openalex.org/C75684735 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6695146560668945 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[2].display_name | Big data |
| concepts[3].id | https://openalex.org/C1668388 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6170491576194763 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1149776 |
| concepts[3].display_name | Data management |
| concepts[4].id | https://openalex.org/C147639290 |
| concepts[4].level | 4 |
| concepts[4].score | 0.6110109686851501 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q56369138 |
| concepts[4].display_name | Data grid |
| concepts[5].id | https://openalex.org/C70061542 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5868826508522034 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q989016 |
| concepts[5].display_name | Distributed database |
| concepts[6].id | https://openalex.org/C24885549 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5511889457702637 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q339678 |
| concepts[6].display_name | Distributed data store |
| concepts[7].id | https://openalex.org/C198531522 |
| concepts[7].level | 2 |
| concepts[7].score | 0.48384109139442444 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q485146 |
| concepts[7].display_name | Sample (material) |
| concepts[8].id | https://openalex.org/C58489278 |
| concepts[8].level | 2 |
| concepts[8].score | 0.44548407196998596 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1172284 |
| concepts[8].display_name | Data set |
| concepts[9].id | https://openalex.org/C153740404 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4393150806427002 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q671224 |
| concepts[9].display_name | Data center |
| concepts[10].id | https://openalex.org/C120314980 |
| concepts[10].level | 1 |
| concepts[10].score | 0.41628512740135193 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[10].display_name | Distributed computing |
| concepts[11].id | https://openalex.org/C187691185 |
| concepts[11].level | 2 |
| concepts[11].score | 0.4130447208881378 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2020720 |
| concepts[11].display_name | Grid |
| concepts[12].id | https://openalex.org/C77088390 |
| concepts[12].level | 1 |
| concepts[12].score | 0.4048888385295868 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8513 |
| concepts[12].display_name | Database |
| concepts[13].id | https://openalex.org/C124101348 |
| concepts[13].level | 1 |
| concepts[13].score | 0.38072454929351807 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[13].display_name | Data mining |
| concepts[14].id | https://openalex.org/C23123220 |
| concepts[14].level | 1 |
| concepts[14].score | 0.16992059350013733 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q816826 |
| concepts[14].display_name | Information retrieval |
| concepts[15].id | https://openalex.org/C111919701 |
| concepts[15].level | 1 |
| concepts[15].score | 0.1386968493461609 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[15].display_name | Operating system |
| concepts[16].id | https://openalex.org/C43617362 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q170050 |
| concepts[16].display_name | Chromatography |
| concepts[17].id | https://openalex.org/C185592680 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[17].display_name | Chemistry |
| concepts[18].id | https://openalex.org/C33923547 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[18].display_name | Mathematics |
| concepts[19].id | https://openalex.org/C103692084 |
| concepts[19].level | 3 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q1765824 |
| concepts[19].display_name | Semantic grid |
| concepts[20].id | https://openalex.org/C2129575 |
| concepts[20].level | 2 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q54837 |
| concepts[20].display_name | Semantic Web |
| concepts[21].id | https://openalex.org/C154945302 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[21].display_name | Artificial intelligence |
| concepts[22].id | https://openalex.org/C2524010 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[22].display_name | Geometry |
| concepts[23].id | https://openalex.org/C105795698 |
| concepts[23].level | 1 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[23].display_name | Statistics |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8307953476905823 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/replication |
| keywords[1].score | 0.6970449090003967 |
| keywords[1].display_name | Replication (statistics) |
| keywords[2].id | https://openalex.org/keywords/big-data |
| keywords[2].score | 0.6695146560668945 |
| keywords[2].display_name | Big data |
| keywords[3].id | https://openalex.org/keywords/data-management |
| keywords[3].score | 0.6170491576194763 |
| keywords[3].display_name | Data management |
| keywords[4].id | https://openalex.org/keywords/data-grid |
| keywords[4].score | 0.6110109686851501 |
| keywords[4].display_name | Data grid |
| keywords[5].id | https://openalex.org/keywords/distributed-database |
| keywords[5].score | 0.5868826508522034 |
| keywords[5].display_name | Distributed database |
| keywords[6].id | https://openalex.org/keywords/distributed-data-store |
| keywords[6].score | 0.5511889457702637 |
| keywords[6].display_name | Distributed data store |
| keywords[7].id | https://openalex.org/keywords/sample |
| keywords[7].score | 0.48384109139442444 |
| keywords[7].display_name | Sample (material) |
| keywords[8].id | https://openalex.org/keywords/data-set |
| keywords[8].score | 0.44548407196998596 |
| keywords[8].display_name | Data set |
| keywords[9].id | https://openalex.org/keywords/data-center |
| keywords[9].score | 0.4393150806427002 |
| keywords[9].display_name | Data center |
| keywords[10].id | https://openalex.org/keywords/distributed-computing |
| keywords[10].score | 0.41628512740135193 |
| keywords[10].display_name | Distributed computing |
| keywords[11].id | https://openalex.org/keywords/grid |
| keywords[11].score | 0.4130447208881378 |
| keywords[11].display_name | Grid |
| keywords[12].id | https://openalex.org/keywords/database |
| keywords[12].score | 0.4048888385295868 |
| keywords[12].display_name | Database |
| keywords[13].id | https://openalex.org/keywords/data-mining |
| keywords[13].score | 0.38072454929351807 |
| keywords[13].display_name | Data mining |
| keywords[14].id | https://openalex.org/keywords/information-retrieval |
| keywords[14].score | 0.16992059350013733 |
| keywords[14].display_name | Information retrieval |
| keywords[15].id | https://openalex.org/keywords/operating-system |
| keywords[15].score | 0.1386968493461609 |
| keywords[15].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.1038/s41598-023-44789-x |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S196734849 |
| locations[0].source.issn | 2045-2322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2045-2322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Reports |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.nature.com/articles/s41598-023-44789-x.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Reports |
| locations[0].landing_page_url | https://doi.org/10.1038/s41598-023-44789-x |
| locations[1].id | pmid:37853092 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific reports |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/37853092 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10584813 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10584813/pdf/41598_2023_Article_44789.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sci Rep |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10584813 |
| locations[3].id | pmh:oai:doaj.org/article:0d32fccbf8414d4d831ad80bb7a48184 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023) |
| locations[3].landing_page_url | https://doaj.org/article/0d32fccbf8414d4d831ad80bb7a48184 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5062812080 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-6730-9449 |
| authorships[0].author.display_name | Tamer Z. Emara |
| authorships[0].countries | EG |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I126427551 |
| authorships[0].affiliations[0].raw_affiliation_string | Faculty of Computers and Artificial Intelligence, Damietta University, New Damietta, Egypt |
| authorships[0].institutions[0].id | https://openalex.org/I126427551 |
| authorships[0].institutions[0].ror | https://ror.org/035h3r191 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I126427551 |
| authorships[0].institutions[0].country_code | EG |
| authorships[0].institutions[0].display_name | Damietta University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tamer Z. Emara |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Faculty of Computers and Artificial Intelligence, Damietta University, New Damietta, Egypt |
| authorships[1].author.id | https://openalex.org/A5022692713 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6973-9749 |
| authorships[1].author.display_name | Thanh Trinh |
| authorships[1].countries | VN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210124651 |
| authorships[1].affiliations[0].raw_affiliation_string | Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I4210111036 |
| authorships[1].affiliations[1].raw_affiliation_string | Phenikaa Research and Technology Institute (PRATI), A &A Green Phoenix Group JSC, Hanoi, Vietnam |
| authorships[1].institutions[0].id | https://openalex.org/I4210111036 |
| authorships[1].institutions[0].ror | https://ror.org/0250p1d07 |
| authorships[1].institutions[0].type | company |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210111036 |
| authorships[1].institutions[0].country_code | VN |
| authorships[1].institutions[0].display_name | Phenikaa (Vietnam) |
| authorships[1].institutions[1].id | https://openalex.org/I4210124651 |
| authorships[1].institutions[1].ror | https://ror.org/03anxx281 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I4210124651 |
| authorships[1].institutions[1].country_code | VN |
| authorships[1].institutions[1].display_name | Phenikaa University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Thanh Trinh |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Faculty of Computer Science, Phenikaa University, Hanoi, Vietnam, Phenikaa Research and Technology Institute (PRATI), A &A Green Phoenix Group JSC, Hanoi, Vietnam |
| authorships[2].author.id | https://openalex.org/A5003347359 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6797-2571 |
| authorships[2].author.display_name | Joshua Zhexue Huang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I180726961, https://openalex.org/I4210099586 |
| authorships[2].affiliations[0].raw_affiliation_string | Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China |
| authorships[2].affiliations[1].institution_ids | https://openalex.org/I180726961 |
| authorships[2].affiliations[1].raw_affiliation_string | National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China |
| authorships[2].institutions[0].id | https://openalex.org/I4210099586 |
| authorships[2].institutions[0].ror | https://ror.org/00z1gwf89 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210099586 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Shenzhen Research Institute of Big Data |
| authorships[2].institutions[1].id | https://openalex.org/I180726961 |
| authorships[2].institutions[1].ror | https://ror.org/01vy4gh70 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I180726961 |
| authorships[2].institutions[1].country_code | CN |
| authorships[2].institutions[1].display_name | Shenzhen University |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Joshua Zhexue Huang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China, National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s41598-023-44789-x.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Geographically distributed data management to support large-scale data analysis |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10101 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | Cloud Computing and Resource Management |
| related_works | https://openalex.org/W1968526517, https://openalex.org/W2037793542, https://openalex.org/W2084547067, https://openalex.org/W2161935659, https://openalex.org/W3129662905, https://openalex.org/W2363056687, https://openalex.org/W4312664200, https://openalex.org/W2368767311, https://openalex.org/W3214050359, https://openalex.org/W1834679979 |
| cited_by_count | 16 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 14 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-023-44789-x |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S196734849 |
| best_oa_location.source.issn | 2045-2322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2045-2322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| best_oa_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.nature.com/articles/s41598-023-44789-x.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41598-023-44789-x |
| primary_location.id | doi:10.1038/s41598-023-44789-x |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S196734849 |
| primary_location.source.issn | 2045-2322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2045-2322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Reports |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.nature.com/articles/s41598-023-44789-x.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-023-44789-x |
| publication_date | 2023-10-18 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2081930221, https://openalex.org/W1965706740, https://openalex.org/W2313563299, https://openalex.org/W2165093166, https://openalex.org/W2918390491, https://openalex.org/W2542459869, https://openalex.org/W3018761215, https://openalex.org/W3023284667, https://openalex.org/W2346777848, https://openalex.org/W2731964388, https://openalex.org/W3000407226, https://openalex.org/W6642648180, https://openalex.org/W2769557912, https://openalex.org/W2803637429, https://openalex.org/W2942587158, https://openalex.org/W2048666037, https://openalex.org/W2155855591, https://openalex.org/W2091915308, https://openalex.org/W2041717067, https://openalex.org/W1514085392, https://openalex.org/W2146402254, https://openalex.org/W1986299532, https://openalex.org/W1581690648, https://openalex.org/W3013477116, https://openalex.org/W6638859868, https://openalex.org/W1986728284, https://openalex.org/W2126105048, https://openalex.org/W2113029033, https://openalex.org/W2900113940, https://openalex.org/W2808726866, https://openalex.org/W3090702692, https://openalex.org/W2119738171, https://openalex.org/W2119565742, https://openalex.org/W2584781819, https://openalex.org/W2724540280, https://openalex.org/W2582083445, https://openalex.org/W2907960312, https://openalex.org/W3215028506, https://openalex.org/W4249823756, https://openalex.org/W2974650973, https://openalex.org/W1598149183, https://openalex.org/W2519564115, https://openalex.org/W3106036258 |
| referenced_works_count | 43 |
| abstract_inverted_index.a | 49, 54, 64, 85, 133, 141, 182, 191, 213, 226 |
| abstract_inverted_index.In | 78, 211 |
| abstract_inverted_index.It | 38 |
| abstract_inverted_index.We | 161, 240 |
| abstract_inverted_index.as | 166, 181 |
| abstract_inverted_index.at | 63 |
| abstract_inverted_index.in | 47, 71, 252 |
| abstract_inverted_index.is | 61, 109, 130, 147 |
| abstract_inverted_index.of | 59, 105, 114, 126, 132, 135, 184, 194, 228, 248 |
| abstract_inverted_index.on | 8, 170, 219, 236 |
| abstract_inverted_index.to | 69, 91, 110, 140, 244 |
| abstract_inverted_index.we | 81, 223 |
| abstract_inverted_index.The | 17, 103, 124, 145 |
| abstract_inverted_index.and | 32, 74, 83, 97, 151 |
| abstract_inverted_index.any | 237 |
| abstract_inverted_index.are | 35 |
| abstract_inverted_index.big | 178, 214, 253 |
| abstract_inverted_index.for | 14, 30, 119, 149 |
| abstract_inverted_index.set | 183 |
| abstract_inverted_index.the | 25, 42, 45, 57, 93, 106, 115, 127, 153, 157, 163, 167, 171, 177, 195, 220, 246, 249 |
| abstract_inverted_index.use | 113, 162, 241 |
| abstract_inverted_index.who | 34 |
| abstract_inverted_index.BDMS | 164, 175 |
| abstract_inverted_index.also | 39 |
| abstract_inverted_index.case | 48 |
| abstract_inverted_index.data | 7, 10, 18, 22, 51, 60, 88, 95, 101, 117, 121, 137, 142, 159, 173, 179, 187, 197, 203, 207, 215, 229, 234, 238, 254, 258 |
| abstract_inverted_index.each | 189 |
| abstract_inverted_index.file | 180, 216 |
| abstract_inverted_index.from | 44, 232 |
| abstract_inverted_index.goal | 104 |
| abstract_inverted_index.grid | 134 |
| abstract_inverted_index.into | 205 |
| abstract_inverted_index.loss | 46 |
| abstract_inverted_index.many | 15 |
| abstract_inverted_index.that | 19 |
| abstract_inverted_index.this | 79 |
| abstract_inverted_index.time | 29 |
| abstract_inverted_index.with | 12, 209 |
| abstract_inverted_index.DCtrl | 146, 200 |
| abstract_inverted_index.Then, | 199 |
| abstract_inverted_index.among | 99 |
| abstract_inverted_index.based | 218 |
| abstract_inverted_index.being | 190 |
| abstract_inverted_index.block | 154 |
| abstract_inverted_index.file. | 198 |
| abstract_inverted_index.leads | 68 |
| abstract_inverted_index.other | 233 |
| abstract_inverted_index.pace, | 66 |
| abstract_inverted_index.rapid | 65 |
| abstract_inverted_index.spans | 20 |
| abstract_inverted_index.their | 6 |
| abstract_inverted_index.these | 202 |
| abstract_inverted_index.which | 67 |
| abstract_inverted_index.whole | 196 |
| abstract_inverted_index.across | 156, 256 |
| abstract_inverted_index.amount | 58 |
| abstract_inverted_index.blocks | 118, 204, 230 |
| abstract_inverted_index.center | 52 |
| abstract_inverted_index.design | 84 |
| abstract_inverted_index.enable | 111 |
| abstract_inverted_index.manage | 92 |
| abstract_inverted_index.paper, | 80 |
| abstract_inverted_index.prefer | 4 |
| abstract_inverted_index.random | 185, 192 |
| abstract_inverted_index.sample | 186, 193, 227 |
| abstract_inverted_index.select | 225 |
| abstract_inverted_index.single | 50 |
| abstract_inverted_index.stored | 96 |
| abstract_inverted_index.stores | 176 |
| abstract_inverted_index.system | 165, 169 |
| abstract_inverted_index.tasks. | 77, 123 |
| abstract_inverted_index.blocks, | 188 |
| abstract_inverted_index.center. | 239 |
| abstract_inverted_index.centers | 11, 23, 138, 208, 235 |
| abstract_inverted_index.ensures | 24 |
| abstract_inverted_index.fastest | 26 |
| abstract_inverted_index.massive | 94 |
| abstract_inverted_index.propose | 82 |
| abstract_inverted_index.results | 243 |
| abstract_inverted_index.several | 2 |
| abstract_inverted_index.storing | 5 |
| abstract_inverted_index.various | 21, 75, 120 |
| abstract_inverted_index.(DCtrl). | 144 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 56 |
| abstract_inverted_index.analysis | 122, 255 |
| abstract_inverted_index.centers. | 102, 160, 174, 259 |
| abstract_inverted_index.composed | 131 |
| abstract_inverted_index.managing | 152 |
| abstract_inverted_index.multiple | 9, 206 |
| abstract_inverted_index.possible | 27 |
| abstract_inverted_index.proposed | 107, 128, 221, 250 |
| abstract_inverted_index.provides | 40 |
| abstract_inverted_index.randomly | 224 |
| abstract_inverted_index.reasons. | 16 |
| abstract_inverted_index.replicas | 155 |
| abstract_inverted_index.response | 28 |
| abstract_inverted_index.storage, | 72 |
| abstract_inverted_index.Nowadays, | 1 |
| abstract_inverted_index.analysis, | 73 |
| abstract_inverted_index.analyzing | 212 |
| abstract_inverted_index.companies | 3 |
| abstract_inverted_index.connected | 139 |
| abstract_inverted_index.customers | 31 |
| abstract_inverted_index.disaster. | 55 |
| abstract_inverted_index.efficient | 112 |
| abstract_inverted_index.framework | 90, 108, 129, 251 |
| abstract_inverted_index.installed | 168 |
| abstract_inverted_index.challenges | 70 |
| abstract_inverted_index.controller | 143 |
| abstract_inverted_index.framework, | 222 |
| abstract_inverted_index.increasing | 62 |
| abstract_inverted_index.management | 89 |
| abstract_inverted_index.organizing | 150 |
| abstract_inverted_index.processing | 76 |
| abstract_inverted_index.protecting | 41 |
| abstract_inverted_index.replicated | 231 |
| abstract_inverted_index.separated. | 37 |
| abstract_inverted_index.simulation | 242 |
| abstract_inverted_index.workforces | 33 |
| abstract_inverted_index.demonstrate | 245 |
| abstract_inverted_index.distributed | 87, 98, 116, 172, 217 |
| abstract_inverted_index.distributes | 201 |
| abstract_inverted_index.experiences | 53 |
| abstract_inverted_index.information | 43 |
| abstract_inverted_index.performance | 247 |
| abstract_inverted_index.replication | 13 |
| abstract_inverted_index.responsible | 148 |
| abstract_inverted_index.architecture | 125 |
| abstract_inverted_index.replication. | 210 |
| abstract_inverted_index.geographically | 36, 86 |
| abstract_inverted_index.geo-distributed | 100, 136, 158, 257 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5062812080 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I126427551 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.6100000143051147 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.97628712 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |